Investigating the Synergistic Role of Artificial Intelligence and Cybersecurity in Modernizing Healthcare Business Management Systems
Keywords:
Machine Learning, Big Data Analytics, Critical Care, Patient Monitoring, Real-Time Systems, Predictive AnalyticsAbstract
The advent of machine learning (ML) has revolutionized healthcare, particularly in critical care and patient monitoring systems. This study explores the integration of ML for real-time big data analytics to enhance patient outcomes in intensive care units (ICUs). It presents a synthesis of recent advancements, highlighting the benefits of predictive analytics, anomaly detection, and decision support systems. By analyzing data from published studies, we discuss challenges such as data heterogeneity, security concerns, and model interpretability. Practical recommendations for improving real-time analytics through advanced ML models are provided. This paper contributes to a growing body of literature underscoring the transformative potential of ML in critical care.
References
Chou, Yi-Ching, et al. "The Impact of Artificial Intelligence on Healthcare Decision-Making: Challenges and Opportunities." Journal of Medical Systems, vol. 45, no. 3, 2021, pp. 1–12.
Gupta, Shalini, and Arjun Desai. "Cybersecurity Risks in Healthcare: Addressing the Threats to Data Integrity." Healthcare Technology Today, vol. 29, no. 7, 2022, pp. 48–56.
Valaboju, V. K. (2024). Reinforcement Learning in AI-Driven Assessments: Enhancing Continuous Learning and Accessibility. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 10(5), 297–305.
Bayyapu, S. (2023). How data analysts can help healthcare organizations comply with HIPAA and other data privacy regulations. International Journal For Advanced Research in Science & Technology, 13(12), 669-674.
Hoffman, Sharon, and Jane Schwartz. "AI and Cybersecurity: Dual Forces in Revolutionizing Healthcare IT." Technology and Innovation Journal, vol. 18, no. 5, 2023, pp. 32–45.
Bayyapu, S. (2022). Optimizing IT sourcing in healthcare: Balancing control, cost, and innovation. International Journal of Computer Applications, 3(1), 14-20.
Valaboju, V. K. (2024). AI-Driven Compliance Training in Finance and Healthcare: A Paradigm Shift in Regulatory Adherence. International Journal for Multidisciplinary Research (IJFMR), 6(6), 1–14.
Khan, Ahmed, et al. "Predictive Models in Healthcare: Leveraging AI to Reduce Costs and Improve Care." International Journal of Healthcare Management, vol. 9, no. 2, 2022, pp. 110–120.
Valaboju, V. K. (2024). The Synergy of Just-in-Time Learning and Artificial Intelligence: Revolutionizing Personalized Education. International Journal of Computer Engineering and Technology (IJCET), 15(5), 707–715.
Patel, Rajiv, and Laura Green. "Protecting Patient Data: The Role of Advanced Encryption and AI." Journal of Healthcare Cybersecurity, vol. 7, no. 1, 2023, pp. 15–28.
Bayyapu, S. (2021). Bridging the gap: Overcoming data, technological, and human roadblocks to AI-driven healthcare transformation. Journal of Management (JOM), 8(1), 7-14.
Smith, Robert, et al. "Predictive Analytics in Outpatient Management: A Game-Changer." Healthcare Administration Review, vol. 12, no. 3, 2021, pp. 15–27.
Valaboju, V. K. (2024). Nanoscale Innovations: Recent Advances in Materials Science and Biomedical Applications of Nanotechnology. International Journal of Research in Computer Applications and Information Technology (IJRCAIT), 7(2), 854–863.
Bayyapu, S. (2023). Impact of the Internet of Medical Things (IoMT) on healthcare cybersecurity. International Journal for Innovative Engineering and Management Research, 12(12), 146-153.
Topol, Eric. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books, 2019.
Bayyapu, S. (2024). Enhancing administrative efficiency with HIT in federal healthcare. Caribbean Journal of Science and Technology, 11(2), 16-20.
Liu, Zhen, et al. "AI-Powered Anomaly Detection in Healthcare Security Systems." International Journal of Machine Learning, vol. 15, no. 1, 2023, pp. 101–115.
Bayyapu, S. (2020). Blockchain healthcare: Redefining data ownership and trust in the medical ecosystem. International Journal of Advanced Research in Engineering and Technology (IJARET), 11(11), 2748-2755.
Zhang, Wei, et al. "AI-Driven Cybersecurity Strategies in Healthcare: A Systematic Review." Computers in Biology and Medicine, vol. 145, 2023, pp. 105667.
Statista. Cybersecurity Spending in Healthcare: A Forecast. Statista, 2023.
Grand View Research. Artificial Intelligence in Healthcare Market Size & Trends Analysis. Grand View Research, 2023.
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Copyright (c) 2025 Guggilapu Mouli Sai Ram Omprakash (Author)
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